Evaluation of Application of New Decision-making Methods in Selected Companies: Use of Business Intelligence in Practice
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F20%3A00007829" target="_blank" >RIV/46747885:24310/20:00007829 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation of Application of New Decision-making Methods in Selected Companies: Use of Business Intelligence in Practice
Popis výsledku v původním jazyce
Growing pressure on the speed of decision-making in all spheres of human life is one of the basic phenomena of today. Just after the first wave of the coronavirus pandemic, we can now consider the act of quickly making right decisions as one of the most important aspects of our being. The main objective of this article is to find out the utilization rate of several basic decision-making approaches in selected companies with an emphasis on newly used methods such as data analysis and business intelligence tools. The first part of this article presents a short introduction of the decision-making process and an overview of hitherto known and used tools facilitating the whole procedure. The submitted study of available literature leads to the presentation of own classification of the most widely used decision-making methods. Based on a questionnaire survey, in the second section, the pilot research examines the involvement of five different groups of methods in business decision-making, such as intuition and previous experiences, consultation with colleagues, data analysis (historical), MCDM methods and consultation with experts. Afterwards, the most common obstacles that employees must face in introducing new tools have been identified. In general, results show that time and the associated pressure on decision-making speed play a crucial role in the decision-making process.
Název v anglickém jazyce
Evaluation of Application of New Decision-making Methods in Selected Companies: Use of Business Intelligence in Practice
Popis výsledku anglicky
Growing pressure on the speed of decision-making in all spheres of human life is one of the basic phenomena of today. Just after the first wave of the coronavirus pandemic, we can now consider the act of quickly making right decisions as one of the most important aspects of our being. The main objective of this article is to find out the utilization rate of several basic decision-making approaches in selected companies with an emphasis on newly used methods such as data analysis and business intelligence tools. The first part of this article presents a short introduction of the decision-making process and an overview of hitherto known and used tools facilitating the whole procedure. The submitted study of available literature leads to the presentation of own classification of the most widely used decision-making methods. Based on a questionnaire survey, in the second section, the pilot research examines the involvement of five different groups of methods in business decision-making, such as intuition and previous experiences, consultation with colleagues, data analysis (historical), MCDM methods and consultation with experts. Afterwards, the most common obstacles that employees must face in introducing new tools have been identified. In general, results show that time and the associated pressure on decision-making speed play a crucial role in the decision-making process.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
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OECD FORD obor
50401 - Sociology
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ACC Journal
ISSN
1803-9782
e-ISSN
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Svazek periodika
16
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
11
Strana od-do
29-39
Kód UT WoS článku
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EID výsledku v databázi Scopus
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